code: def get_all_nn_activation_operators():
      """Gets all NN Activation operators registered with MXNet.
  
      Returns
      -------
      {"operator_name": {"has_backward", "nd_op_handle", "params"}}
      """
      nn_activation_ops = {
          "Softmax",
          "SoftmaxActivation",
          "softmin",
          "Activation",
          "LeakyReLU",
          "hard_sigmoid",
          "softmax",
          "log_softmax",
      }
  
      # Get all mxnet operators
      mx_operators = _get_all_mxnet_operators()
  
      # Filter for NN Activation operators
      nn_activation_mx_operators = {}
      for op_name, _ in mx_operators.items():
          if op_name in nn_activation_ops:
              nn_activation_mx_operators[op_name] = mx_operators[
                  op_name
              ]
      return nn_activation_mx_operators
  
imports: from operator import itemgetter
  from mxnet import runtime
  import mxnet
  from benchmark.opperf.rules.default_params import DEFAULTS_INPUTS, DEFAULTS_INPUTS_LARGE_TENSOR, MX_OP_MODULE
label_desc: Use image node_id 14 for calling a global function with example usage: get_all_nn_activation_operators() and returns: nn_activation_mx_operators